Minh Vu's repositories
AF-Classification-from-a-short-single-lead-ECG-recording
This repos is to analysis Cardiologist-level arrhythmia based on paper source "Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network"
Machine-Learning-notes
This repo will be updated with more JD and technical skills which being required in ML/AI jobs
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
deepxde
A library for scientific machine learning and physics-informed learning
EVRP-TW-SPD
Dataset, CPLEX code of the EVRP-TW-SPD.
GenSMCP3.jl
Automated SMC with Probabilistic Program Proposals, for the Gen PPL.
IoT-LoraSX1278-Raspberrypi
This is an IoT project using LoRa transmission technology 📡. The use cases are: Forest fire alert system🔥 and Smart railway transmission 🚅.
MaSDEs
Code for "Neural Stochastic Differential Gaems for Time-series Analysis"
mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
mo-book.ampl.com
Data-Driven Mathematical Optimization with AMPL in Python
neural_control
Simple PID controller for neural prosthetics.
NeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
On-Neural-Stochastic-Differential-Equation
An implement of Neural Stochastic Differential Equations to estimate uncertainty in other model's prediction
PhiFlow
A differentiable PDE solving framework for machine learning
Python
All Algorithms implemented in Python
python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
SNN-Daily-Arxiv
Update arXiv papers about Spiking Neural Networks daily.
synthetic-data-for-neural-operators
Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differences, finite element, etc.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tabular-dl-tabr
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"